Knowledge and Service Engineering
Description of Knowledge and Service Engineering
We are specialists in knowledge representation and management, while implementing information systems, or data integration systems, regardless of their domain.
Semantic data modeling: ontologies, conceptual models, business rule detection and metamodeling.
Automated reasoning: inference of new data from existing data, generation of valid test data.
Integration: integration of data or systems.
Requirements engineering: detection of user needs both in terms of data and processes.
Service engineering and business process management: design and development of solutions for service and process management.
Web technologies: design and development of web-based applications.
Knowledge and Service Engineering Success Stories
Research and development of a pilot disruptive traffic model, which takes advantage of the possibilities of the latest advances in computing, communications and data sources.
The objective is to have a tool that is capable of representing the map of knowledge of the UPC and to be able to show areas of confluence of disciplines and emerging areas.
This project studies the feasibility of using QR codes in the food sector to provide end customers with more information and content about the products they buy.
Digitization of surveys for the detection of infectious diseases to see the results in a graphic and understandable way, as well as to be able to geolocate where they have been carried out.
Optimization, automation and deployment of the monitoring platform developed by Apolo Analytics.
TINTIN is a tool to support SQL assertions in relational databases.